Sr. Site Reliability Engineer

U.S. Equal Employment Opportunity information
(Completion is voluntary and will not subject you to adverse treatment)
Immuta provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

About the role

As a Data Engineer at Immuta, you will play a crucial role in designing, implementing, and maintaining data infrastructure solutions. You will work closely with cross-functional teams including data scientists, product managers, and software engineers to ensure seamless integration and scalability of data pipelines.

Responsibilities

• Design and implement robust data pipelines using Apache Airflow, Kubernetes, and other relevant tools.
• Collaborate with data scientists and product managers to understand business needs and translate them into technical solutions.
• Maintain and optimize existing data infrastructure to meet changing business requirements.
• Perform regular monitoring and troubleshooting of data pipelines to ensure high availability and performance.
• Develop and maintain documentation for data pipelines and infrastructure components.
• Participate in code reviews and contribute to the continuous improvement of the engineering practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 3 years of professional experience in data engineering or a related field.
• Experience with Apache Airflow, Kubernetes, Docker, and other cloud-native technologies.
• Strong understanding of SQL, Python, and other programming languages commonly used in data engineering.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Experience with data modeling and database design.
• Knowledge of data warehousing concepts and best practices.

Qualifications

• Experience with big data technologies such as Hadoop, Spark, and Hive.
• Hands-on experience with data storage systems like MySQL, PostgreSQL, and MongoDB.
• Understanding of data security and compliance standards.
• Experience with data visualization tools such as Tableau or PowerBI.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Skills

• Proficiency in scripting languages such as Bash, PowerShell, or Python.
• Experience with CI/CD pipelines and automation tools.
• Good understanding of DevOps principles and practices.
• Experience with distributed systems and microservices architecture.
• Strong communication and interpersonal skills.

Benefits

• Competitive salary commensurate with experience.
• Flexible working hours and remote work options.
• Health insurance coverage.
• Retirement savings plan.
• Professional development opportunities.
• Employee recognition programs.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time position with a flexible schedule.